Measuring the Boundary of Crustal Deformation Area by InSAR
Meng Zhu, Qiming Zeng, Jian Jiao
Abstract
Meng Zhu, Qiming Zeng, Jian Jiao
Abstract
Boundary and area information could be used to study various interesting relations of multiple disasters such as "magnitude-area" relation for earthquakes. In this paper, a new method using InSAR-derived interferograms to determine the boundary of the crustal deformation area is introduced. Although InSAR has been widely used in crustal deformation monitoring, little is known about boundary detection using interferograms. The proposed method conducted Atmospheric Phase Screen (APS) correction to the interferograms based on Numerical Weather Prediction (NWP) model offered by Generic Atmospheric Correction Online Service for InSAR (GACOS). Moreover, this study proposed a suggestion to identify points in the interferograms at which the deformation changes smoothly that could be determined as the far-field boundary. Here we used a pair of Sentinel-1A images to investigate the deformation boundary associated with the 2017 Iran Sangsefid earthquake as an example. It was experimentally shown that the proposed method provided an inspiring scheme for boundary detection based on InSAR interferograms.
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Boundary and area information could be used to study various interesting relations of multiple disasters such as "magnitude-area" relation for earthquakes. In this paper, a new method using InSAR-derived interferograms to determine the boundary of the crustal deformation area is introduced. Although InSAR has been widely used in crustal deformation monitoring, little is known about boundary detection using interferograms. The proposed method conducted Atmospheric Phase Screen (APS) correction to the interferograms based on Numerical Weather Prediction (NWP) model offered by Generic Atmospheric Correction Online Service for InSAR (GACOS). Moreover, this study proposed a suggestion to identify points in the interferograms at which the deformation changes smoothly that could be determined as the far-field boundary. Here we used a pair of Sentinel-1A images to investigate the deformation boundary associated with the 2017 Iran Sangsefid earthquake as an example. It was experimentally shown that the proposed method provided an inspiring scheme for boundary detection based on InSAR interferograms.
Key concepts: Interferometric synthetic aperture radar, Boundary (topology), Deformation (meteorology), Geology, Geodesy, Remote sensing, Synthetic aperture radar, Seismology